Publisher
Zhejiang University Press
Reference25 articles.
1. Brookes DH, Listgarten J, 2018. Design by adaptive sampling. https://arxiv.org/pdf/1810.03714v4
2. Brookes DH, Park H, Listgarten J, 2019. Conditioning by adaptive sampling for robust design. Proc 36th Int Conf on Machine Learning, p.773–782.
3. Cai WQ, Kordabad AB, Gros S, 2023. Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value. Eng Appl Artif Intell, 119:105793. https://doi.org/10.1016/j.engappai.2022.105793
4. Claessens BJ, Vrancx P, Ruelens F, 2018. Convolutional neural networks for automatic state-time feature extraction in reinforcement learning applied to residential load control. IEEE Trans Smart Grid, 9(4):3259–3269. https://doi.org/10.1109/TSG.2016.2629450
5. Czarnecki WM, Gidel G, Tracey B, et al., 2020. Real world games look like spinning tops. Proc 34th Int Conf on Neural Information Processing Systems, Article 1463.